Results 1 to 10 of about 227,361 (116)

The Impact of NPV on the Spectral Parameters in the Yellow-Edge, Red-Edge and NIR Shoulder Wavelength Regions in Grasslands

Remote Sensing, 2022
Even though research has shown that the spectral parameters of yellow-edge, red-edge and NIR (near-infrared) shoulder wavelength regions are able to estimate green cover and leaf area index (LAI), a large amount of dead materials in grasslands challenges
Dandan Xu, Yanqing Liu, Weixin Xu, Xulin Guo   +3 more
doaj   +3 more sources

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

Remote Sensing, 2017
Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF).
David P. Roy, Zhongbin Li, Hankui K. Zhang   +2 more
doaj   +3 more sources

Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The red-edge band is closely related to biochemical parameters that characterize the growth condition of green plants and is an important factor in monitoring vegetation health.
Jiahui Chen, Hanqiu Xu
doaj   +3 more sources

Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

Sensors, 2011
ESA’s upcoming satellite Sentinel-2 will provide Earth images of high spatial, spectral and temporal resolution and aims to ensure continuity for Landsat and SPOT observations.
José Moreno, Luis Alonso, Jochem Verrelst, Jesús Delegido   +3 more
doaj   +3 more sources

Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass [PDF]

Global Journal of Environmental Science and Management, 2020
Forest’s ecosystem is one of the most important carbon sink of the terrestrial ecosystem. Remote sensing technology provides robust techniques to estimate biomass and solve challenges in forest resource assessment.
A.B. Imran, K. Khan, N. Ali, N. Ahmad, A. Ali, K. Shah   +5 more
doaj   +1 more source

UAV Hyperspectral Data Combined with Machine Learning for Winter Wheat Canopy SPAD Values Estimation

Remote Sensing, 2023
Chlorophyll is an important indicator for monitoring crop growth and is vital for agricultural management. Therefore, rapid and accurate estimation of chlorophyll content is important for decision support in precision agriculture to accurately monitor ...
Qi Wang, Xiaokai Chen, Huayi Meng, Huiling Miao, Shiyu Jiang, Qingrui Chang   +5 more
doaj   +1 more source

Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability

Agronomy, 2022
This study used hyperspectral reflectance data to evaluate the crop physiological parameters of sweet maize. Principal component analysis (PCA) was applied to identify the wavelengths that primarily contributed to each selected PC.
Mohamed Houssemeddine Sellami, Rossella Albrizio, Milica Čolović, Mohamad Hamze, Vito Cantore, Mladen Todorovic, Lea Piscitelli, Anna Maria Stellacci   +7 more
doaj   +1 more source

Comparison of Winter Wheat Yield Estimation Based on Near-Surface Hyperspectral and UAV Hyperspectral Remote Sensing Data

Remote Sensing, 2022
Crop yields are important for food security and people’s living standards, and it is therefore very important to predict the yield in a timely manner.
Haikuan Feng, Huilin Tao, Yiguang Fan, Yang Liu, Zhenhai Li, Guijun Yang, Chunjiang Zhao   +6 more
doaj   +1 more source

Exploring the Influencing Factors in Identifying Soil Texture Classes Using Multitemporal Landsat-8 and Sentinel-2 Data

Remote Sensing, 2022
Soil texture is a key soil property driving physical, chemical, biological, and hydrological processes in soils. The rapid development of remote sensing techniques shows great potential for mapping soil properties. This study highlights the effectiveness
Yanan Zhou, Wei Wu, Hongbin Liu
doaj   +1 more source

Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data

Sensors, 2020
Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the assessment of crop growth, and are therefore important for agricultural management. Although improvements have been made in the monitoring of crop growth parameters
Huilin Tao, Haikuan Feng, Liangji Xu, Mengke Miao, Huiling Long, Jibo Yue, Zhenhai Li, Guijun Yang, Xiaodong Yang, Lingling Fan   +9 more
doaj   +1 more source